{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jonas\Dropbox\storastudien\papper\iat papper\revision research and politics\texter\anonymized dataset\final\IAT_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Mar 2022, 16:31:17

{com}. use "C:\Users\jonas\Dropbox\storastudien\papper\iat papper\revision research and politics\texter\anonymized dataset\final\IAT_data.dta", replace

. sum  reply_within2weeks   if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
reply_with~s {c |}{res}      3394    .7492634     .433501          0          1

{com}. 
. 
. 
. sum  questionsanswered   if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
question~red {c |}{res}      3394    1.653212    1.226107          0          3

{com}. 
. 
. 
. sum  friendliness_5   if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
friendline~5 {c |}{res}      3394    1.260754    1.282432          0          5

{com}. 
. 
. 
. sum  free_space   if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}free_space {c |}{res}      3394    .2492634    .4326503          0          1

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. *Figure 1

. 
. 
. 
. histogram iat
{txt}(bin={res}21{txt}, start={res}-.9208405{txt}, width={res}.11063608{txt})
{res}
{com}. 
. 
. 
. 
. 
. *Table 2 (without controls)

. 
. *The estimates differ to a marginally from those in the article as the municipality and school controls are not included in the models below for privacy reasons 

. 
. 
. 
. *Model 1

. 
. reg reply_within2weeks  arab_treatment lowses_treatment woman_treatment   if  analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}    3394
                                                       {txt}F(  3,   289) ={res}    1.12
                                                       {txt}Prob > F      = {res} 0.3417
                                                       {txt}R-squared     = {res} 0.0007
                                                       {txt}Root MSE      = {res} .43354

{txt}{ralign 82:(Std. Err. adjusted for {res:290} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}reply_within2w~s{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2} -.008486{col 30}{space 2} .0173054{col 41}{space 1}   -0.49{col 50}{space 3}0.624{col 58}{space 4}-.0425466{col 71}{space 3} .0255746
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.0144344{col 30}{space 2} .0155327{col 41}{space 1}   -0.93{col 50}{space 3}0.354{col 58}{space 4} -.045006{col 71}{space 3} .0161371
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2}-.0161994{col 30}{space 2}  .013249{col 41}{space 1}   -1.22{col 50}{space 3}0.222{col 58}{space 4}-.0422763{col 71}{space 3} .0098774
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7688183{col 30}{space 2} .0158923{col 41}{space 1}   48.38{col 50}{space 3}0.000{col 58}{space 4} .7375389{col 71}{space 3} .8000977
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 2

. 
. reg reply_within2weeks   arab_treatment lowses_treatment woman_treatment  if iatdata==1 & analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  3,   184) ={res}    1.25
                                                       {txt}Prob > F      = {res} 0.2927
                                                       {txt}R-squared     = {res} 0.0119
                                                       {txt}Root MSE      = {res} .38087

{txt}{ralign 82:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}reply_within2w~s{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.0338558{col 30}{space 2} .0350893{col 41}{space 1}   -0.96{col 50}{space 3}0.336{col 58}{space 4} -.103085{col 71}{space 3} .0353733
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.0461856{col 30}{space 2} .0372385{col 41}{space 1}   -1.24{col 50}{space 3}0.216{col 58}{space 4}-.1196549{col 71}{space 3} .0272837
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0601267{col 30}{space 2}  .044339{col 41}{space 1}    1.36{col 50}{space 3}0.177{col 58}{space 4}-.0273515{col 71}{space 3} .1476049
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8350212{col 30}{space 2} .0419202{col 41}{space 1}   19.92{col 50}{space 3}0.000{col 58}{space 4} .7523152{col 71}{space 3} .9177272
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 3

. 
. reg questionsanswered   arab_treatment lowses_treatment woman_treatment   if  analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}    3394
                                                       {txt}F(  3,   289) ={res}    0.64
                                                       {txt}Prob > F      = {res} 0.5874
                                                       {txt}R-squared     = {res} 0.0005
                                                       {txt}Root MSE      = {res} 1.2264

{txt}{ralign 82:(Std. Err. adjusted for {res:290} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}questionsanswe~d{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.0219972{col 30}{space 2} .0446779{col 41}{space 1}   -0.49{col 50}{space 3}0.623{col 58}{space 4}-.1099325{col 71}{space 3} .0659381
{txt}lowses_treatment {c |}{col 18}{res}{space 2} -.037151{col 30}{space 2} .0408903{col 41}{space 1}   -0.91{col 50}{space 3}0.364{col 58}{space 4}-.1176315{col 71}{space 3} .0433295
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2}-.0304448{col 30}{space 2} .0391382{col 41}{space 1}   -0.78{col 50}{space 3}0.437{col 58}{space 4}-.1074768{col 71}{space 3} .0465872
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.697999{col 30}{space 2} .0420508{col 41}{space 1}   40.38{col 50}{space 3}0.000{col 58}{space 4} 1.615234{col 71}{space 3} 1.780763
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 4

. 
. reg questionsanswered   arab_treatment lowses_treatment woman_treatment   if iatdata==1 & analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  3,   184) ={res}    0.67
                                                       {txt}Prob > F      = {res} 0.5710
                                                       {txt}R-squared     = {res} 0.0052
                                                       {txt}Root MSE      = {res} 1.1668

{txt}{ralign 82:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}questionsanswe~d{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.0072312{col 30}{space 2} .1048475{col 41}{space 1}   -0.07{col 50}{space 3}0.945{col 58}{space 4} -.214089{col 71}{space 3} .1996267
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.1537549{col 30}{space 2} .1106474{col 41}{space 1}   -1.39{col 50}{space 3}0.166{col 58}{space 4}-.3720557{col 71}{space 3} .0645459
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0692601{col 30}{space 2} .1327074{col 41}{space 1}    0.52{col 50}{space 3}0.602{col 58}{space 4}-.1925638{col 71}{space 3}  .331084
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.925726{col 30}{space 2} .1164807{col 41}{space 1}   16.53{col 50}{space 3}0.000{col 58}{space 4} 1.695916{col 71}{space 3} 2.155535
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 5

. 
. reg friendliness_5  arab_treatment lowses_treatment woman_treatment   if  analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}    3394
                                                       {txt}F(  3,   289) ={res}   15.85
                                                       {txt}Prob > F      = {res} 0.0000
                                                       {txt}R-squared     = {res} 0.0138
                                                       {txt}Root MSE      = {res} 1.2741

{txt}{ralign 82:(Std. Err. adjusted for {res:290} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}  friendliness_5{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.2245658{col 30}{space 2}  .044577{col 41}{space 1}   -5.04{col 50}{space 3}0.000{col 58}{space 4}-.3123026{col 71}{space 3}-.1368289
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.1984302{col 30}{space 2}  .043291{col 41}{space 1}   -4.58{col 50}{space 3}0.000{col 58}{space 4}-.2836359{col 71}{space 3}-.1132245
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0247478{col 30}{space 2} .0433541{col 41}{space 1}    0.57{col 50}{space 3}0.569{col 58}{space 4}-.0605819{col 71}{space 3} .1100776
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.460041{col 30}{space 2} .0598923{col 41}{space 1}   24.38{col 50}{space 3}0.000{col 58}{space 4} 1.342161{col 71}{space 3} 1.577921
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 6

. 
. reg friendliness_5   arab_treatment lowses_treatment woman_treatment   if iatdata==1 & analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  3,   184) ={res}    2.32
                                                       {txt}Prob > F      = {res} 0.0766
                                                       {txt}R-squared     = {res} 0.0162
                                                       {txt}Root MSE      = {res} 1.3468

{txt}{ralign 82:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}  friendliness_5{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.3071938{col 30}{space 2} .1301738{col 41}{space 1}   -2.36{col 50}{space 3}0.019{col 58}{space 4} -.564019{col 71}{space 3}-.0503685
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.1648928{col 30}{space 2} .1238061{col 41}{space 1}   -1.33{col 50}{space 3}0.185{col 58}{space 4}-.4091549{col 71}{space 3} .0793693
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0486611{col 30}{space 2} .1573058{col 41}{space 1}    0.31{col 50}{space 3}0.757{col 58}{space 4}-.2616939{col 71}{space 3} .3590161
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 1.761877{col 30}{space 2}   .15144{col 41}{space 1}   11.63{col 50}{space 3}0.000{col 58}{space 4} 1.463095{col 71}{space 3}  2.06066
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 7

. 
. reg free_space  arab_treatment lowses_treatment woman_treatment   if  analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}    3394
                                                       {txt}F(  3,   289) ={res}    5.53
                                                       {txt}Prob > F      = {res} 0.0011
                                                       {txt}R-squared     = {res} 0.0045
                                                       {txt}Root MSE      = {res} .43186

{txt}{ralign 82:(Std. Err. adjusted for {res:290} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      free_space{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2} -.032028{col 30}{space 2} .0142704{col 41}{space 1}   -2.24{col 50}{space 3}0.026{col 58}{space 4}-.0601152{col 71}{space 3}-.0039408
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.0485603{col 30}{space 2} .0144548{col 41}{space 1}   -3.36{col 50}{space 3}0.001{col 58}{space 4}-.0770104{col 71}{space 3}-.0201102
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0015003{col 30}{space 2} .0149467{col 41}{space 1}    0.10{col 50}{space 3}0.920{col 58}{space 4}-.0279179{col 71}{space 3} .0309186
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .2888121{col 30}{space 2} .0177783{col 41}{space 1}   16.25{col 50}{space 3}0.000{col 58}{space 4} .2538208{col 71}{space 3} .3238034
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 8

. 
. reg free_space   arab_treatment lowses_treatment woman_treatment   if iatdata==1 & analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  3,   184) ={res}    4.26
                                                       {txt}Prob > F      = {res} 0.0061
                                                       {txt}R-squared     = {res} 0.0206
                                                       {txt}Root MSE      = {res} .46863

{txt}{ralign 82:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      free_space{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}arab_treatment {c |}{col 18}{res}{space 2}-.0790016{col 30}{space 2} .0416907{col 41}{space 1}   -1.89{col 50}{space 3}0.060{col 58}{space 4}-.1612549{col 71}{space 3} .0032516
{txt}lowses_treatment {c |}{col 18}{res}{space 2}-.1059061{col 30}{space 2} .0404806{col 41}{space 1}   -2.62{col 50}{space 3}0.010{col 58}{space 4}-.1857719{col 71}{space 3}-.0260403
{txt}{space 1}woman_treatment {c |}{col 18}{res}{space 2} .0417263{col 30}{space 2} .0395654{col 41}{space 1}    1.05{col 50}{space 3}0.293{col 58}{space 4}-.0363338{col 71}{space 3} .1197864
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .4072255{col 30}{space 2} .0438554{col 41}{space 1}    9.29{col 50}{space 3}0.000{col 58}{space 4} .3207013{col 71}{space 3} .4937497
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. 
. 
. *Table 3 (without controls)

. 
. 
. 
. *Model 1

. 
. reg reply_within2weeks i.arab_treatment##c.iat lowses_treatment woman_treatment  if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  5,   184) ={res}    0.94
                                                       {txt}Prob > F      = {res} 0.4568
                                                       {txt}R-squared     = {res} 0.0136
                                                       {txt}Root MSE      = {res} .38141

{txt}{ralign 86:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}  reply_within2weeks{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.arab_treatment {c |}{col 22}{res}{space 2} .0033979{col 34}{space 2} .0519886{col 45}{space 1}    0.07{col 54}{space 3}0.948{col 62}{space 4}-.0991726{col 75}{space 3} .1059684
{txt}{space 17}iat {c |}{col 22}{res}{space 2} .0411181{col 34}{space 2} .0569747{col 45}{space 1}    0.72{col 54}{space 3}0.471{col 62}{space 4}-.0712896{col 75}{space 3} .1535258
{txt}{space 20} {c |}
arab_treatment#c.iat {c |}
{space 18}1  {c |}{col 22}{res}{space 2}-.0825532{col 34}{space 2}   .09008{col 45}{space 1}   -0.92{col 54}{space 3}0.361{col 62}{space 4}-.2602756{col 75}{space 3} .0951692
{txt}{space 20} {c |}
{space 4}lowses_treatment {c |}{col 22}{res}{space 2}-.0462549{col 34}{space 2} .0371882{col 45}{space 1}   -1.24{col 54}{space 3}0.215{col 62}{space 4}-.1196251{col 75}{space 3} .0271153
{txt}{space 5}woman_treatment {c |}{col 22}{res}{space 2}   .05888{col 34}{space 2} .0448994{col 45}{space 1}    1.31{col 54}{space 3}0.191{col 62}{space 4}-.0297039{col 75}{space 3} .1474639
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .8171185{col 34}{space 2} .0455367{col 45}{space 1}   17.94{col 54}{space 3}0.000{col 62}{space 4} .7272772{col 75}{space 3} .9069597
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 3

. 
. reg questionsanswered i.arab_treatment##c.iat lowses_treatment woman_treatment  if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  5,   184) ={res}    0.50
                                                       {txt}Prob > F      = {res} 0.7756
                                                       {txt}R-squared     = {res} 0.0065
                                                       {txt}Root MSE      = {res} 1.1687

{txt}{ralign 86:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}   questionsanswered{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.arab_treatment {c |}{col 22}{res}{space 2}-.0092825{col 34}{space 2} .1772362{col 45}{space 1}   -0.05{col 54}{space 3}0.958{col 62}{space 4}-.3589589{col 75}{space 3} .3403939
{txt}{space 17}iat {c |}{col 22}{res}{space 2}-.1142427{col 34}{space 2}  .191369{col 45}{space 1}   -0.60{col 54}{space 3}0.551{col 62}{space 4}-.4918024{col 75}{space 3} .2633169
{txt}{space 20} {c |}
arab_treatment#c.iat {c |}
{space 18}1  {c |}{col 22}{res}{space 2}  .005444{col 34}{space 2} .3066336{col 45}{space 1}    0.02{col 54}{space 3}0.986{col 62}{space 4}-.5995259{col 75}{space 3} .6104138
{txt}{space 20} {c |}
{space 4}lowses_treatment {c |}{col 22}{res}{space 2}-.1467286{col 34}{space 2} .1099674{col 45}{space 1}   -1.33{col 54}{space 3}0.184{col 62}{space 4}-.3636877{col 75}{space 3} .0702305
{txt}{space 5}woman_treatment {c |}{col 22}{res}{space 2} .0667926{col 34}{space 2} .1330393{col 45}{space 1}    0.50{col 54}{space 3}0.616{col 62}{space 4}-.1956859{col 75}{space 3} .3292712
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.974861{col 34}{space 2} .1407858{col 45}{space 1}   14.03{col 54}{space 3}0.000{col 62}{space 4} 1.697099{col 75}{space 3} 2.252623
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 5

. 
. reg friendliness_5  i.arab_treatment##c.iat lowses_treatment woman_treatment  if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  5,   184) ={res}    1.64
                                                       {txt}Prob > F      = {res} 0.1512
                                                       {txt}R-squared     = {res} 0.0184
                                                       {txt}Root MSE      = {res} 1.3483

{txt}{ralign 86:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}      friendliness_5{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.arab_treatment {c |}{col 22}{res}{space 2}-.3428195{col 34}{space 2} .1791358{col 45}{space 1}   -1.91{col 54}{space 3}0.057{col 62}{space 4}-.6962438{col 75}{space 3} .0106048
{txt}{space 17}iat {c |}{col 22}{res}{space 2} .1271796{col 34}{space 2} .2205466{col 45}{space 1}    0.58{col 54}{space 3}0.565{col 62}{space 4}-.3079457{col 75}{space 3} .5623049
{txt}{space 20} {c |}
arab_treatment#c.iat {c |}
{space 18}1  {c |}{col 22}{res}{space 2} .0776101{col 34}{space 2} .3138832{col 45}{space 1}    0.25{col 54}{space 3}0.805{col 62}{space 4}-.5416628{col 75}{space 3} .6968829
{txt}{space 20} {c |}
{space 4}lowses_treatment {c |}{col 22}{res}{space 2}-.1752682{col 34}{space 2} .1247551{col 45}{space 1}   -1.40{col 54}{space 3}0.162{col 62}{space 4}-.4214025{col 75}{space 3} .0708661
{txt}{space 5}woman_treatment {c |}{col 22}{res}{space 2} .0536243{col 34}{space 2} .1583504{col 45}{space 1}    0.34{col 54}{space 3}0.735{col 62}{space 4}-.2587917{col 75}{space 3} .3660402
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 1.707404{col 34}{space 2} .1719772{col 45}{space 1}    9.93{col 54}{space 3}0.000{col 62}{space 4} 1.368103{col 75}{space 3} 2.046705
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. 
. 
. 
. *Model 7

. 
. reg free_space  i.arab_treatment##c.iat lowses_treatment woman_treatment  if analyserasvidflera==1 &  bounce==. &  wrongperson_svararej_vidarebefej==0,  cluster(municip)

{txt}Linear regression                                      Number of obs ={res}     447
                                                       {txt}F(  5,   184) ={res}    2.72
                                                       {txt}Prob > F      = {res} 0.0212
                                                       {txt}R-squared     = {res} 0.0215
                                                       {txt}Root MSE      = {res} .46947

{txt}{ralign 86:(Std. Err. adjusted for {res:185} clusters in municip)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          free_space{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.arab_treatment {c |}{col 22}{res}{space 2}-.1099999{col 34}{space 2} .0639625{col 45}{space 1}   -1.72{col 54}{space 3}0.087{col 62}{space 4}-.2361942{col 75}{space 3} .0161943
{txt}{space 17}iat {c |}{col 22}{res}{space 2}-.0482638{col 34}{space 2}   .07616{col 45}{space 1}   -0.63{col 54}{space 3}0.527{col 62}{space 4}-.1985228{col 75}{space 3} .1019953
{txt}{space 20} {c |}
arab_treatment#c.iat {c |}
{space 18}1  {c |}{col 22}{res}{space 2}  .068804{col 34}{space 2} .1074083{col 45}{space 1}    0.64{col 54}{space 3}0.523{col 62}{space 4}-.1431061{col 75}{space 3} .2807142
{txt}{space 20} {c |}
{space 4}lowses_treatment {c |}{col 22}{res}{space 2}-.1049673{col 34}{space 2} .0406414{col 45}{space 1}   -2.58{col 54}{space 3}0.011{col 62}{space 4}-.1851504{col 75}{space 3}-.0247843
{txt}{space 5}woman_treatment {c |}{col 22}{res}{space 2} .0424454{col 34}{space 2} .0399796{col 45}{space 1}    1.06{col 54}{space 3}0.290{col 62}{space 4} -.036432{col 75}{space 3} .1213228
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .4281635{col 34}{space 2} .0543394{col 45}{space 1}    7.88{col 54}{space 3}0.000{col 62}{space 4} .3209552{col 75}{space 3} .5353719
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. est store a

. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jonas\Dropbox\storastudien\papper\iat papper\revision research and politics\texter\anonymized dataset\final\IAT_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Mar 2022, 16:31:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}